rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
A side-by-side editorial comparison of Cobbler and tf — release velocity, themes, recent moves, and the top alternatives to consider.
A backport branch kept alive for downstreams, with the main line nowhere in sight.
Every release in Cobbler's visible history describes itself the same way: backports from main to make Cobbler more stable for the community. The 3.3.x line has absorbed real work under that framing — collection indices, lazy loading, new XML-RPC endpoints — but none of it originates here. The most recent item is a 3.2.3 build carrying the CVE-2024-47533 fix to an older branch, with its Fixed and Added sections left as literal TBD placeholders.
tf gave functional data a second dimension: curves whose values are vectors.
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
Every release in Cobbler's visible history describes itself the same way: backports from main to make Cobbler more stable for the community. The 3.3.x line has absorbed real work under that framing — collection indices, lazy loading, new XML-RPC endpoints — but none of it originates here. The most recent item is a 3.2.3 build carrying the CVE-2024-47533 fix to an older branch, with its Fixed and Added sections left as literal TBD placeholders.
This is a stabilization branch serving downstream packagers rather than a product advancing on its own. The work that does land splits cleanly into three buckets: distribution coverage (Ubuntu 22.04, Debian 12, AlmaLinux, RHEL9, openSUSE and SLE signatures), API surface for integrators, and security backports. 3.3.3 flagged dump_vars as the replacement for get_blended_data as of 3.4.0 — a version that has not appeared in any release since.
Expect continued single-purpose backports to 3.3.x and older branches as CVEs surface; the entries give no indication of when or whether the 3.4.0 work these releases keep deferring to will ship.
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
The package is widening what a functional observation can be, then porting the toolkit onto it. Registration arrived first in 0.4.0 for univariate curves and immediately gained an srvf_mv method for aligning components jointly, and tfb_mfpc() ports principal component analysis to the multivariate case with a single set of scores shared across components. Alongside that runs steady dependency shedding — mvtnorm and pracma both replaced by inlined samplers that reproduce prior draws bit-for-bit, glue dropped for cli in the previous release — and an unusually long tail of NA-handling and edge-case fixes, several caught in pre-release review of the new classes.
The new classes ship with FPCA, registration and shape alignment but the release notes describe tidyfun::tf_unnest() as the consumer of one new export, so the visible next step is the rest of the tidyfun stack catching up to vector-valued columns. Expect follow-up patches on the vctrs casting paths, which is where most of this release's late fixes clustered.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Cobbler or tf.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Cobbler and tf are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Cobbler and tf are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top Cobbler alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Cobbler alternatives" section above for the current picks, or visit /alternatives/cobbler for the full list with editorial commentary on each.
Top tf alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tf alternatives" section above for the current picks, or visit /alternatives/tf for the full list with editorial commentary on each.